Director, Data Engineering

About the role

This remote role is responsible for leading and forming the enterprise’s data platforms that support BAYADA’s mission and long-term goals. The Director, Data Engineering, will formulate and implement a comprehensive data strategy that aligns with the organization’s overall business objectives, enabling reliable, secure, and scalable data foundations for analytics, decision-making, and AI across the enterprise.

Minimum qualifications

• Exemplifies characteristics of The BAYADA Way: compassion, excellence and reliability.
• Four (4) year college degree in Computer Science, Information Systems, Engineering or related field; advanced degree preferred.
• Twenty (20) years of progressive experience leading and transforming data engineering and analytics teams in a growth-oriented environment.
• Five (5) years specifically focused on enterprise data platforms, Lakehouse and cloud-native data architectures, and large-scale data engineering programs (including managing and building teams of 30+ people).
• Demonstrated experience in implementing automation in engineering workflows and on the cutting edge of AI-based engineering capabilities.
• Demonstrated automations in multi-cloud architecture environments.
• Relevant certifications preferred (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP)).
• Demonstrated record of strong interpersonal skills and building relationships.
• Demonstrated record of goal achievement and exceeding performance standards.
• Demonstrated ability to lead people and get results through others.
• Proven ability to lead enterprise data engineering projects and teams and the development of data and analytics solutions.
• Expertise in software development, IT infrastructure, data architecture, and emerging technologies.
• Exceptional organizational skills and problem-solving abilities.
• Demonstrated experience in cloud data platform migration and cloud-native data engineering, enterprise-scale integrations and ingestion development, and modernization of legacy data warehouse and BI platforms.
• Proven track record of working with multi-functional, cross-site teams in a remote, complex work environment.
• Experience managing budgets and vendor/contract relationships.
• Strong understanding of secure data engineering practices, agile development methodologies, and healthcare industry security and privacy regulations like HIPAA, HITECH, and NIST framework.
• Demonstrated experience in modernizing legacy data platforms, transitioning data warehouse and Business Intelligence (BI) systems to the cloud, and implementing enterprise-scale data integrations connecting distributed systems.
• Proven ability to manage high-pressure situations with professionalism and discretion.
• Strong relationship-building skills to promote collaboration and drive successful outcomes.
• Proven ability to build on open-source platforms (e.g., Databricks, AWS, Apache Spark, data build tool (DBT), Airflow, SQL/Python) and the ability to swiftly learn new tools.
• Solid written and verbal communication skills.
• Strong customer service skills.
• Excellent organizational skills and strong attention to detail.
• Understands and connects with the BAYADA culture.

Responsibilities

• Champion BAYADA’s core values and The BAYADA Way, ensuring these principles guide every initiative and decision.
• Lead the strategy, development, and execution of the enterprise data platform—including ingestion, storage, transformation, governance, and observability—in alignment with organizational growth, digital transformation, and modernization priorities.
• Advance adoption of modern data engineering practices, including Lakehouse architectures, streaming and batch ingestion, DataOps, Continuous Integration/Continuous Deployment (CI/CD), and infrastructure as code to enable scalable, resilient solutions.
• Oversee the modernization of legacy data warehouse and BI environments (e.g., SQL Server, SQL Server Analysis Services (SSAS)), emphasizing migration to cloud-first, Lakehouse-based platforms for improved performance and agility.
• Design, scale, and manage BAYADA’s data integration and pipeline framework with a focus on reliability, resilience, and sustainable growth.
• Operationalize and oversee robust data quality, observability, and lineage programs to ensure continuous improvement and high standards of delivery.
• Support the organization’s AI and analytics strategy by delivering the trustworthy, governed, and well-modeled data foundation required for insight-driven decision-making and exceptional user experiences.
• Collaborate with IT infrastructure, cybersecurity, enterprise architecture, application engineering, and analytics teams to build integrated, secure, and future-ready data platforms.
• Partner with product management and business stakeholders to ensure the on-time delivery of data roadmaps, balancing speed, quality, and long-term maintainability.
• Ensure compliance with all relevant healthcare industry regulations—including HIPAA, HITECH, and NIST—and maintain strong security and PHI-handling frameworks across the data lifecycle.
• Foster and sustain a culture of innovation, collaboration, teamwork, and continuous learning across the data engineering function.
• Serve as a strategic advisor to executive leadership on data investments, risk mitigation, and innovation opportunities, aligning initiatives with BAYADA’s mission and business priorities.
• Identify, evaluate, and guide the adoption of emerging data technologies that elevate BAYADA’s mission and advance care excellence.
• Streamline data engineering operations to enhance productivity and organizational effectiveness.
• Develop and implement comprehensive strategies to mitigate data and platform risks and ensure the security, compliance, and resilience of BAYADA’s data assets.
• Lead organizational change management related to data platform adoption, ensuring smooth transitions and widespread user acceptance.
• Build and maintain strong, trust-based relationships with leaders and stakeholders to ensure alignment and support for data initiatives.
• Establish, monitor, and report on service level agreements (SLAs) and key performance indicators (KPIs) to uphold the highest standards of data quality, reliability, and service delivery.
• Cultivate, lead, and develop a high-performing, inclusive, and collaborative data engineering team that embodies BAYADA’s values and strives for excellence.
• Oversee the creation, implementation, and enforcement of data engineering policies, standards, and governance frameworks to ensure regulatory compliance and industry-leading best practices.
• Allocate resources strategically, including budget and personnel, to maximize the impact and value of data investments.
• Demonstrate solid performance or exceed performance standards in key job dimensions/attributes as defined on the Performance Appraisal for Office Staff.

Benefits

• Paid holidays, vacation and sick leave
• Vision, dental and medical health plans
• Employer paid life insurance
• 401k with company match
• Direct deposit
• Employee assistance program

Pay

Base Salary: $195,000 – $220,000 per year depending on qualifications; bonus opportunity available.